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IoT Telemetry at Scale: Processing 100M Sensor Events per Hour on Edge Clusters

I
IoT & Telemetry Lab
Hardware Engineering
Jan 14, 2026
6 min read
IoT Telemetry at Scale: Processing 100M Sensor Events per Hour on Edge Clusters
EXECUTIVE THESIS & ARCHITECTURAL SUMMARY

Fleet tracking, remote cold-storage monitoring, and industrial machinery require capturing sensor telemetry continuously under unpredictable network conditions. SmartFlow leverages lightweight edge gateways, MQTT brokers, and time-series clustering to ingest and analyze over 100 million events every hour.

1. MQTT Brokers & High-Throughput Ingestion

Using EMQX and Apache Pulsar, SmartFlow handles persistent connections from thousands of GPS and OBD-II telematics devices with minimal battery and bandwidth overhead.

QoS Level 1 Delivery: Guarantees critical telemetry is never lost during cellular network dropouts.
Edge Geofencing: Micro-controllers calculate spatial boundaries on the vehicle, triggering alerts instantly without cloud round-trip delay.
CORE STRATEGIC IMPLICATIONS & SUMMARY

Actionable Implementation Guidelines

1
Edge computing reduces cellular data transmission costs by up to 60%.
2
Time-series compression enables years of historical telemetry storage at minimal cloud expense.
Topics & Technologies:#IoT#MQTT#Edge Computing#Time-Series DB#SmartFlow
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